Skip to main content

Documentation Index

Fetch the complete documentation index at: https://agno-v2-shaloo-ai-support-link.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

This example demonstrates how to create dynamic instructions that change based on session state, allowing personalized agent behavior for different users.

​
Code

dynamic_instructions.py
from agno.agent import Agent
from agno.run import RunContext

def get_instructions(run_context: RunContext):
    if not run_context.session_state:
        run_context.session_state = {}

    if run_context.session_state.get("current_user_id"):
        return f"Make the story about {run_context.session_state.get('current_user_id')}."

    return "Make the story about the user."


agent = Agent(instructions=get_instructions)
agent.print_response("Write a 2 sentence story", user_id="john.doe")

​
Usage

1

Create a Python file

Create dynamic_instructions.py with the code above.
2

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
3

Install dependencies

uv pip install -U agno openai
4

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"
5

Run Agent

python dynamic_instructions.py